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Rindcalc

A Spectral Index Raster Calculator For Satellite Image Processing

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For more information visit the Rindcalc documentation

Rindcalc is an open source python library built on numpy and gdal aiming to provide seamless and accurate raster index calculations and composites of satellite and aerial imagery.

It currently consists of index calculation, composite and utility functions for Landsat-8 and USDA NAIP imagery, with Sentinel-2 and MODIS satellite functionality in the works

Roadmap

  • Finish Sentinel-2 implementation
  • Rework Landsat, NAIP, and Sentinel to operate in classes
  • Segmentation and zonal statistics

Install with pip

Dependencies:

  • GDAL - need to build from .whl file
  • NumPy
pip install rindcalc

Install with conda

conda install -c rindcalc rindcalc 

If rindcalc is not importing after conda install on Windows 10 then rindcalc files need to be moved from Lib/pythonX.X/site-packages/ to Lib/site-packages within the conda env folder.

Metadata

Release files for rindcalc 3.0.0

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Source distribution for rindcalc 3.0.0
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Built distribution (wheel)

Table of built distributions (wheels) for rindcalc 3.0.0
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rindcalc-3.0.0-py3-none-any.whl Python 3 none any Details for rindcalc-3.0.0-py3-none-any.whl

Total release size: 36.9 kB

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